Datasets:

heig-vd-geo
/

FLAIR1_mmseg

Error code:   StreamingRowsError
Exception:    UnidentifiedImageError
Message:      cannot identify image file <_io.BytesIO object at 0x7f8847071c70>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2270, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1857, in __iter__
                  batch = formatter.format_batch(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 467, in format_batch
                  batch = self.python_features_decoder.decode_batch(batch)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/formatting/formatting.py", line 229, in decode_batch
                  return self.features.decode_batch(batch) if self.features else batch
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2143, in decode_batch
                  [
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 2144, in <listcomp>
                  decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1414, in decode_nested_example
                  return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 184, in decode_example
                  image = PIL.Image.open(bytes_)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/PIL/Image.py", line 3339, in open
                  raise UnidentifiedImageError(msg)
              PIL.UnidentifiedImageError: cannot identify image file <_io.BytesIO object at 0x7f8847071c70>

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FLAIR#1 Dataset for MMSegmentation

This repository provides the Official FLAIR#1 dataset, formatted for compatibility with the MMSegmentation framework. The dataset is structured to maintain the original folder hierarchy as required by MMSegmentation.

Structure

Ensure that the dataset is organized as follows after extraction:

flair/
├── images/
│   ├── train/
│      ├── images/
│      └── masks/
│   ├── val/
│      ├── images/
│      └── masks/
│   └── test/
│      ├── images/
│      └── masks/

Usage

Download the Dataset: Download the dataset from the this repo.
Extract the Dataset: Unzip the downloaded files, ensuring that the folder structure is preserved as outlined above.

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